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Decoding the Grasping Intention from Electromyography during Reaching Motions

  • Authors: Batzianoulis, Iason; Krausz, Nili E; Simon, Ann M; Hargrove, Levi; Billard, Aude

  Background Active upper-limb prostheses are used to restore important hand functionalities, such as grasping. In conventional approaches, a pattern recognition system is trained over a number of static grasping gestures. However, training a classifier in a static position results in lower classification accuracy when performing dynamic motions, such as reach-to-grasp. We propose an electromyography-based …

Posted on: June 15, 2018

Reach-to-grasp motions: Towards a dynamic classification approach for upper-limp prosthesis

  • Authors: Batzianoulis, Iason; Simon, Annie; Hargrove, Levi; Billard, Aude

During reach-to-grasp motions, the Electromyo-graphic (EMG) activity of the arm varies depending on motion stage. The variability of the EMG signals results in low classification accuracy during the reaching phase, delaying the activation of the prosthesis. To increase the efficiency of the pattern-recognition system, we investigate the muscle activity of four individuals with below-elbow amputation …

Posted on: June 18, 2019